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Ontology-Based Data Mining Workflow Construction

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12956))

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Abstract

Currently, Data mining is applied in various domains. Many data science researchers are confused on which algorithms are suitable for the context. Hundreds of the operators/algorithms are combined within complex data mining workflows. A data mining assistant can significantly improve the efficiency of workflow construction. In our previous work, we constructed data mining ontologies based on “semantic meta mining” to support the selection of algorithms and operators for solving data mining tasks. But the use of such ontologies is still unfriendly. Strict query syntax still plagues many users. This paper proposes an interactive interface based on the reasoning mechanism to help users generate queries and build suitable data mining workflows.

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Acknowledgments

«The paper was prepared in Saint- Petersburg Electrotechnical University (LETI), and is supported by the Agreement № 075–11-2019–053 dated 20.11.2019 (Ministry of Science and Higher Education of the Russian Federation, in accordance with the Decree of the Government of the Russian Federation of April 9, 2010 No. 218), project «Creation of a domestic high-tech production of vehicle security systems based on a control mechanism and intelligent sensors, including millimeter radars in the 76–77 GHz range»

Author information

Authors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Man Tianxing

  2. St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

    Nataly Zhukova

  3. St. Petersburg State Electrotechnical University “LETI”, St. Petersburg, Russia

    Sergey Lebedev, Alexander Vodyaho, Nataly Zhukova & Yulia A. Shichkina

Authors
  1. Man Tianxing
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  2. Sergey Lebedev
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  3. Alexander Vodyaho
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  4. Nataly Zhukova
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  5. Yulia A. Shichkina
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Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Tianxing, M., Lebedev, S., Vodyaho, A., Zhukova, N., Shichkina, Y.A. (2021). Ontology-Based Data Mining Workflow Construction. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12956. Springer, Cham. https://doi.org/10.1007/978-3-030-87010-2_31

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  • DOI: https://doi.org/10.1007/978-3-030-87010-2_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87009-6

  • Online ISBN: 978-3-030-87010-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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